MetageneCluster: a Python package for filtering conflicting signal trends in metagene plots.

ABSTRACT:

Background

Metagene plots provide a visualization of biological signal trends over subsections of the genome and are used to perform high-level analysis of experimental data by aggregating genome-level data to create an average profile. The generation of metagene plots is useful for summarizing the results of many sequencing-based applications. Despite their prevalence and utility, the standard metagene plot is blind to conflicting signals within data. If multiple distinct trends occur, they can interact destructively, creating a plot that does not accurately represent any of the underlying trends.

Results

We present MetageneCluster, a Python tool to generate a collection of representative metagene plots based on k-means clustering of genomic regions of interest. Clustering

SUBMITTER: Carter C 

PROVIDER: S-EPMC10785526 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature